Results 191 to 200 of about 75,461 (296)

FGF13 Deficiency Ameliorates Paclitaxel‐Induced Neuropathic Pain by Inhibiting VASH1‐Mediated Microtubule Detyrosination to Promote Mitophagy

open access: yesAdvanced Science, EarlyView.
FGF13 is upregulated in DRG neurons of PIPNP model mice. DRG neuron‐specific knockout of FGF13 ameliorates PIPNP symptoms. Mechanistically, FGF13 potentiates microtubule detyrosination by promoting VASH1 binding to microtubules. FGF13 knockout suppresses VASH1‐mediated microtubule detyrosination and promotes α‐tubulin tyrosination.
Yiming Dong   +10 more
wiley   +1 more source

On-Device Neural Architecture Search

open access: yes2025 IEEE International Conference on Consumer Electronics (ICCE)
Garavagno, Andrea Mattia   +4 more
openaire   +2 more sources

Endoplasmic Reticulum Geometry Dictates Neuronal Bursting via Calcium Store Refill Rates and Exposes Selective Neuronal Vulnerability

open access: yesAdvanced Science, EarlyView.
The ER's continuous tubular network is maintained by ER‐shaping proteins whose mutation or dysregulation contributes to neurodegenerative diseases. Here, we show that ER morphology sets the speed of Ca2+ store replenishment between firing events. Disrupting ER continuity slows intra‐ER Ca2+ redistribution from extracellular refill (SOCE) sites, driving
Valentina Davi   +13 more
wiley   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

open access: yesAdvanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju   +5 more
wiley   +1 more source

A methodology for neural spatial interaction modelling [PDF]

open access: yes
This paper presents a methodology for neural spatial interaction modelling. Particular emphasis is laid on design, estimation and performance issues in both cases, unconstrained and singly constrained spatial interaction.
Fischer, Manfred M., Reismann, Martin
core  

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

open access: yesAdvanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo   +6 more
wiley   +1 more source

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